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Kathryn Martires<br />

Factors that Affect Skin Aging: a Cohort-based Survey on Twins<br />

Kathryn Martires, Dr. Pingfu Fu, Dr. Amy Polster, Dr. Kevin Cooper and Dr. Elma Baron<br />

Dermatology; Epidemiology and Biostatistics<br />

<strong>University</strong> Hospitals <strong>Case</strong> Medical Center, <strong>Case</strong> <strong>Western</strong> <strong>Reserve</strong> <strong>University</strong><br />

Introduction: Photoaging describes a phenomenon brought about by long-term sun exposure that causes<br />

inflammatory skin changes, resulting in photodamage and premature skin aging. The topic has become an issue <strong>of</strong><br />

great importance and expense. In 2005, $160 billion were spent on aging-reversal procedures. More importantly,<br />

the presence <strong>of</strong> photodamage is also related to the development <strong>of</strong> skin cancers, warranting investigation into the<br />

etiology and prevention <strong>of</strong> photodamage.<br />

Objective: This study identifies environmental factors that correlate with skin photoaging, controlling for genetic<br />

susceptibility by using a questionnaire administered to pairs <strong>of</strong> twins at the annual Twins Days Festival in<br />

Twinsburg, Ohio.<br />

Methods: The survey collected information about degree <strong>of</strong> sun exposure, sun protective behaviors, history <strong>of</strong> skin<br />

cancer, smoking and drinking habits, and body mass index from a cohort <strong>of</strong> twins. Clinicians then assigned a<br />

Fitzpatrick type and clinical photodamage score to each participant. Univariate analysis examined associations<br />

between each variable and photodamage, using the Spearman correlation coefficient and the Kruskal-Wallis test.<br />

For factors found to be significant in univariate analysis, multivariable linear regression with the forward model<br />

selection procedure was used to determine independent associations. All tests were two-sided and p-values less<br />

than 0.05 were considered significant.<br />

Results: Factors found to positively predict photodamage include cigarettes smoked, with a correlation coefficient<br />

(r) <strong>of</strong> 1.62 (p=0.0004), skin cancer history with r=1.62 (p= 0.045), and weight with r=0.45 (p=0.008). Factors<br />

negatively correlated with photoaging include Fitzpatrick type with r=-0.47 (p=0.0004), and sun screen use with<br />

r=-0.31 (p= 0.007).<br />

Conclusions: The study <strong>of</strong> twins provides a unique opportunity to control for genetic susceptibility in order to<br />

elucidate environmental influences on skin aging. The relationships found between smoking, weight, sunscreen<br />

use, skin cancer, and photodamage in these twin pairs may help to motivate the reduction <strong>of</strong> risky behaviors.<br />

Supported by <strong>University</strong> Hospitals <strong>Case</strong> Medical Center Department <strong>of</strong> Dermatology<br />

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